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Affle 3i Limited (AFFLE) Fair Value & Analysis

Communication Services · IN · Market cap ₹203B

Price₹1,450
Fair Value₹611.48
Upside-57.8%
Quality97/100
Evidence: High Range ₹481.35 – ₹1,331

Fair value as of: Jun 29, 2026

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Analysis

Affle 3i Limited (AFFLE) currently trades at ₹1,450, while our model-based Fair Value estimate is ₹611.48 — implying the stock looks roughly 57.8% overvalued today. We read business quality at 97/100 (high quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Affle 3i Limited, together with its subsidiaries, provides mobile advertisement services through information technology and software development services for mobiles in India and internationally. It operates Appnext, an app discovery platform that displays contextual and personal app recommendations; Mediasmart, an omnichannel programmatic advertising platform; Jampp, a programmatic platform to grow app business; RevX, a programmatic advertising for app marketers; and YouAppi, a programmatic mobile app retargeting solution. The company was formerly known as Affle (India) Limited and changed its name to Affle 3i Limited in April 2025. Affle 3i Limited was incorporated in 1994 and is based in Gurugram, India.

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Frequently asked questions

Is Affle 3i Limited (AFFLE) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹611.48 versus a price of ₹1,450 — about −58% (overvalued). Model-based estimate, not financial advice.
What is the fair value of AFFLE?
Our 21-model fair value for Affle 3i Limited is ₹611.48 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹1,450.
What is the quality score of AFFLE?
Affle 3i Limited has a Quality Score of 97/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.